Senior Data Scientist — Hybrid Enterprise ML

Marsh & McLennan Companies; Ciudad de México; Híbrido; MXN 70,000 - 100,000; Jornada completa

Descripción de la vacante

A leading global advisory firm is seeking a Senior Data Scientist in Mexico City. The role involves analyzing complex datasets, building machine learning models, and developing automated data pipelines. Candidates should have a degree in a quantitative field and at least 4 years of experience with cloud technologies and Python programming. Join a vibrant culture that fosters professional development and inclusion, with a hybrid work model requiring presence in the office three days a week.

Servicios

Professional development opportunities

Supportive work culture

Flexible work schedule

Formación

• 4+ years of experience with cloud‑based data science and engineering technologies.
• Proficient in SQL and experienced with database management.
• Strong programming skills in Python.

Responsabilidades

• Analyze complex datasets and build scalable machine learning models.
• Design and implement efficient code for data manipulation and model development.
• Develop and maintain automated ETL pipelines leveraging cloud platforms.

Conocimientos

Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)

SQL

Data Visualization (Power BI, Tableau)

Problem-solving

Strong analytical skills

Educación

Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics

Herramientas

Databricks

AWS S3

Redshift

Snowflake

Azure Synapse

Descripción del empleo

A leading global advisory firm is seeking a Senior Data Scientist in Mexico City. The role involves analyzing complex datasets, building machine learning models, and developing automated data pipelines. Candidates should have a degree in a quantitative field and at least 4 years of experience with cloud technologies and Python programming. Join a vibrant culture that fosters professional development and inclusion, with a hybrid work model requiring presence in the office three days a week.